#it also said some bullcrap like “some scientists think that there is a force counteracting entropy but don't know what it is” and I'm like

[cirrem]

also since I'm posting, nobody knows what entropy is and whenever I see anyone (non-physicists) talk about it they're wrong

entropy is a measure of the possible ways a system can be in its state. for example, if you're flipping 4 coins, there is 1 way to get 4 heads, 1 way to get 4 tails, 4 ways to get 1 head, 4 ways to get 1 tail, and 6 ways (I think) to get 2 heads and 2 tails. the state of 2 heads and 2 tails has the highest entropy, because it has the most ways to exist.

Chaos is a completely separate concept, its how sensitive a system is to initial conditions -- the classical example is the double pendulum. if you have two double pendulums and only slightly change the angle of one, they are going to act completely different. As compared to a normal pendulum, where slightly changing the angle will be very similar to not changing it.

Chaos and entropy can be related, but that very much depends on the system. the most likely state a double pendulum will be in after a certain amount of time is straight down -- that is to say as time increases the entropy of the straight down pendulum increases, even though it is the least "chaotic" double pendulum system. (I may be butchering stuff I'm only an undergrad and I took thermo/statistical in the fall)

I kind of understand why people associate them so much, if I were to roll a bazillion dice and recorded their number, it'd tend to an even amount of 1,2,3,4,5, and 6, in a random order. the sequence of numbers would seem to be pretty chaotic, and we will have a high entropy system. But associating entropy with that instead of the fact that there is an even distribution of numbers, that we can predict the total sum of the roll, or the average of all the rolls, completely misses the point of what makes entropy useful and why we talk about it.

Entropy isn't a measure of chaos, its a measure of probability, and helps us know what we can from a systems most likely state.